Repo Sync

.bazelrc

@@ -59,24 +59,6 @@ build:macos --host_macos_minimum_os=11.0
 build:linux --copt=-fopenmp
 build:linux --linkopt=-fopenmp
 
-build:asan --strip=never
-build:asan --copt -fno-sanitize-recover=all
-build:asan --copt -fsanitize=address
-build:asan --copt -Og
-build:asan --copt -g
-build:asan --copt -fno-omit-frame-pointer
-build:asan --linkopt -fsanitize=address
-build:asan --linkopt -static-libasan
-
-build:ubsan --strip=never
-build:ubsan --copt -fno-sanitize-recover=all
-build:ubsan --copt -fsanitize=undefined
-build:ubsan --copt -Og
-build:ubsan --copt -g
-build:ubsan --copt -fno-omit-frame-pointer
-build:ubsan --linkopt -fsanitize=undefined
-build:ubsan --linkopt -static-libubsan
-
-build:macos-asan --features=asan
-build:macos-ubsan --features=ubsan
+build:asan --features=asan
+build:ubsan --features=ubsan
 

CHANGELOG.md

@@ -14,6 +14,7 @@
 - [API] Add intrinsic support
 - [Feature] Support half type
 - [Feature] Add Psi Progress
+- [Feature] Add SineOp/CosineOp support
 
 ## 20230705
 

CONTRIBUTING.md

@@ -58,7 +58,7 @@ docker exec -it spu-dev-$(whoami) bash
 #### Linux
 
 ```sh
-Install gcc>=11.2, cmake>=3.18, ninja, nasm>=2.15, python==3.8, bazel==6.2.1, golang
+Install gcc>=11.2, cmake>=3.18, ninja, nasm>=2.15, python>=3.8, bazel==6.2.1, golang
 
 python3 -m pip install -r requirements.txt
 python3 -m pip install -r requirements-dev.txt

WORKSPACE

@@ -38,6 +38,12 @@ rules_foreign_cc_dependencies(
     register_preinstalled_tools = True,
 )
 
+load("@rules_cuda//cuda:repositories.bzl", "register_detected_cuda_toolchains", "rules_cuda_dependencies")
+
+rules_cuda_dependencies()
+
+register_detected_cuda_toolchains()
+
 load("@xla//:workspace4.bzl", "xla_workspace4")
 
 xla_workspace4()
@@ -64,3 +70,9 @@ python_configure(
     name = "local_config_python",
     python_version = "3",
 )
+
+load("@rules_proto_grpc//:repositories.bzl", "rules_proto_grpc_repos", "rules_proto_grpc_toolchains")
+
+rules_proto_grpc_toolchains()
+
+rules_proto_grpc_repos()

bazel/patches/seal.patch

@@ -67,7 +67,7 @@ index 31e07441..c34d0a45 100644
          // Write the poly_modulus_degree. Note that it will always be positive.
          *param_data_ptr++ = static_cast<uint64_t>(poly_modulus_degree_);
 
-+		*param_data_ptr++ = static_cast<uint64_t>(use_special_prime_);
++		 *param_data_ptr++ = static_cast<uint64_t>(use_special_prime_);
          for (const auto &mod : coeff_modulus_)
          {
              *param_data_ptr++ = mod.value();
@@ -118,3 +118,104 @@ index 9e1fbe48..eb71c4ac 100644
          parms_id_type parms_id_ = parms_id_zero;
      };
  } // namespace seal
+
+diff --git a/native/src/seal/evaluator.cpp b/native/src/seal/evaluator.cpp
+index dabd3bab..afaa71dc 100644
+--- a/native/src/seal/evaluator.cpp
++++ b/native/src/seal/evaluator.cpp
+@@ -2382,6 +2382,7 @@ namespace seal
+         size_t encrypted_size = encrypted.size();
+         // Use key_context_data where permutation tables exist since previous runs.
+         auto galois_tool = context_.key_context_data()->galois_tool();
++        bool is_ntt_form = encrypted.is_ntt_form();
+
+         // Size check
+         if (!product_fits_in(coeff_count, coeff_modulus_size))
+@@ -2412,7 +2413,7 @@ namespace seal
+         // DO NOT CHANGE EXECUTION ORDER OF FOLLOWING SECTION
+         // BEGIN: Apply Galois for each ciphertext
+         // Execution order is sensitive, since apply_galois is not inplace!
+-        if (parms.scheme() == scheme_type::bfv)
++        if (not is_ntt_form)
+         {
+             // !!! DO NOT CHANGE EXECUTION ORDER!!!
+
+@@ -2426,7 +2427,7 @@ namespace seal
+             // Next transform encrypted.data(1)
+             galois_tool->apply_galois(encrypted_iter[1], coeff_modulus_size, galois_elt, coeff_modulus, temp);
+         }
+-        else if (parms.scheme() == scheme_type::ckks || parms.scheme() == scheme_type::bgv)
++        else
+         {
+             // !!! DO NOT CHANGE EXECUTION ORDER!!!
+
+@@ -2440,10 +2441,6 @@ namespace seal
+             // Next transform encrypted.data(1)
+             galois_tool->apply_galois_ntt(encrypted_iter[1], coeff_modulus_size, galois_elt, temp);
+         }
+-        else
+-        {
+-            throw logic_error("scheme not implemented");
+-        }
+
+         // Wipe encrypted.data(1)
+         set_zero_poly(coeff_count, coeff_modulus_size, encrypted.data(1));
+@@ -2530,6 +2527,7 @@ namespace seal
+         auto &key_context_data = *context_.key_context_data();
+         auto &key_parms = key_context_data.parms();
+         auto scheme = parms.scheme();
++        bool is_ntt_form = encrypted.is_ntt_form();
+
+         // Verify parameters.
+         if (!is_metadata_valid_for(encrypted, context_) || !is_buffer_valid(encrypted))
+@@ -2559,14 +2557,6 @@ namespace seal
+         {
+             throw invalid_argument("pool is uninitialized");
+         }
+-        if (scheme == scheme_type::bfv && encrypted.is_ntt_form())
+-        {
+-            throw invalid_argument("BFV encrypted cannot be in NTT form");
+-        }
+-        if (scheme == scheme_type::ckks && !encrypted.is_ntt_form())
+-        {
+-            throw invalid_argument("CKKS encrypted must be in NTT form");
+-        }
+         if (scheme == scheme_type::bgv && !encrypted.is_ntt_form())
+         {
+             throw invalid_argument("BGV encrypted must be in NTT form");
+@@ -2605,7 +2595,7 @@ namespace seal
+         set_uint(target_iter, decomp_modulus_size * coeff_count, t_target);
+
+         // In CKKS or BGV, t_target is in NTT form; switch back to normal form
+-        if (scheme == scheme_type::ckks || scheme == scheme_type::bgv)
++        if (is_ntt_form)
+         {
+             inverse_ntt_negacyclic_harvey(t_target, decomp_modulus_size, key_ntt_tables);
+         }
+@@ -2632,7 +2622,7 @@ namespace seal
+                 ConstCoeffIter t_operand;
+
+                 // RNS-NTT form exists in input
+-                if ((scheme == scheme_type::ckks || scheme == scheme_type::bgv) && (I == J))
++                if (is_ntt_form && (I == J))
+                 {
+                     t_operand = target_iter[J];
+                 }
+@@ -2789,7 +2779,7 @@ namespace seal
+                     SEAL_ITERATE(t_ntt, coeff_count, [fix](auto &K) { K += fix; });
+
+                     uint64_t qi_lazy = qi << 1; // some multiples of qi
+-                    if (scheme == scheme_type::ckks)
++                    if (is_ntt_form)
+                     {
+                         // This ntt_negacyclic_harvey_lazy results in [0, 4*qi).
+                         ntt_negacyclic_harvey_lazy(t_ntt, get<2>(J));
+@@ -2802,7 +2792,7 @@ namespace seal
+                         qi_lazy = qi << 2;
+ #endif
+                     }
+-                    else if (scheme == scheme_type::bfv)
++                    else
+                     {
+                         inverse_ntt_negacyclic_harvey_lazy(get<0, 1>(J), get<2>(J));
+                     }

bazel/patches/xla.patch

@@ -0,0 +1,22 @@
+diff --git a/third_party/tsl/workspace1.bzl b/third_party/tsl/workspace1.bzl
+index 4cfb6da82..0e3774834 100644
+--- a/third_party/tsl/workspace1.bzl
++++ b/third_party/tsl/workspace1.bzl
+@@ -3,7 +3,7 @@
+ load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
+ load("@com_github_grpc_grpc//bazel:grpc_deps.bzl", "grpc_deps")
+ load("@io_bazel_rules_closure//closure:defs.bzl", "closure_repositories")
+-load("@rules_cuda//cuda:dependencies.bzl", "rules_cuda_dependencies")
++# load("@rules_cuda//cuda:dependencies.bzl", "rules_cuda_dependencies")
+ load("@rules_pkg//:deps.bzl", "rules_pkg_dependencies")
+
+ # buildifier: disable=unnamed-macro
+@@ -14,7 +14,7 @@ def workspace(with_rules_cc = True):
+       with_rules_cc: whether to load and patch rules_cc repository.
+     """
+     native.register_toolchains("@local_config_python//:py_toolchain")
+-    rules_cuda_dependencies(with_rules_cc)
++    # rules_cuda_dependencies(with_rules_cc)
+     rules_pkg_dependencies()
+
+     closure_repositories()

bazel/repositories.bzl

@@ -21,6 +21,8 @@ SECRETFLOW_GIT = "https://github.com/secretflow"
 YACL_COMMIT_ID = "a9c1d7d119c80eb75d5ec63ee6cd77145dff18c2"
 
 def spu_deps():
+    _rules_cuda()
+    _rules_proto_grpc()
     _bazel_platform()
     _upb()
     _com_github_xtensor_xtensor()
@@ -61,6 +63,24 @@ def spu_deps():
         path = "/opt/homebrew/opt/libomp/",
     )
 
+def _rules_proto_grpc():
+    http_archive(
+        name = "rules_proto_grpc",
+        sha256 = "928e4205f701b7798ce32f3d2171c1918b363e9a600390a25c876f075f1efc0a",
+        strip_prefix = "rules_proto_grpc-4.4.0",
+        urls = [
+            "https://github.com/rules-proto-grpc/rules_proto_grpc/releases/download/4.4.0/rules_proto_grpc-4.4.0.tar.gz",
+        ],
+    )
+
+def _rules_cuda():
+    http_archive(
+        name = "rules_cuda",
+        sha256 = "fa1462c4c3104de44489800a1da055f55afa57795789539c835e069818786f71",
+        strip_prefix = "rules_cuda-cab1fa2dd0e1f8489f566c91a5025856cf5ae572",
+        urls = ["https://github.com/bazel-contrib/rules_cuda/archive/cab1fa2dd0e1f8489f566c91a5025856cf5ae572.tar.gz"],
+    )
+
 def _bazel_platform():
     http_archive(
         name = "platforms",
@@ -138,8 +158,8 @@ def _com_github_xtensor_xtl():
     )
 
 def _com_github_openxla_xla():
-    OPENXLA_COMMIT = "f23282956725050dd07996d3b80d6788ad8aaeba"
-    OPENXLA_SHA256 = "6e87093f550573de12af247edfa590d76adc6e931da6b551e78dc2c0c2bbd04d"
+    OPENXLA_COMMIT = "0c99beffabc5d43fa29f121674eb59e14a22c779"
+    OPENXLA_SHA256 = "d4c7511a496aeb917976c0d8a65de374c395546f0c3d4077d9dfd4df780d7ea8"
 
     SKYLIB_VERSION = "1.3.0"
 
@@ -160,6 +180,10 @@ def _com_github_openxla_xla():
         sha256 = OPENXLA_SHA256,
         strip_prefix = "xla-" + OPENXLA_COMMIT,
         type = ".tar.gz",
+        patch_args = ["-p1"],
+        patches = [
+            "@spulib//bazel:patches/xla.patch",
+        ],
         urls = [
             "https://github.com/openxla/xla/archive/{commit}.tar.gz".format(commit = OPENXLA_COMMIT),
         ],

bazel/spu.bzl

@@ -48,6 +48,7 @@ def spu_cc_binary(
     cc_binary(
         linkopts = linkopts,
         copts = copts + _spu_copts(),
+        linkstatic = True,
         **kargs
     )
 
@@ -66,6 +67,7 @@ def spu_cc_library(
         local_defines = local_defines + [
             "SPU_BUILD",
         ],
+        linkstatic = True,
         **kargs
     )
 
@@ -111,5 +113,6 @@ def spu_cc_test(
         local_defines = local_defines + [
             "SPU_BUILD",
         ],
+        linkstatic = True,
         **kwargs
     )

docs/reference/xla_status.md

@@ -30,7 +30,7 @@ Count: Total = 4, fully supported = 2
 | `ceil`         | fully                       |
 | `convert`      | fully                       |
 | `count_leading_zeros`| no                    |
-| `cosine`       | no                          |
+| `cosine`       | fully                       |
 | `exponential`  | fully                       |
 | `exponential_minus_one`| fully               |
 | `floor`        | fully                       |
@@ -46,11 +46,11 @@ Count: Total = 4, fully supported = 2
 | `round_nearest_afz`| not                     |
 | `rsqrt`        | fully                       |
 | `sign`         | partial                     |
-| `sine`         | not                         |
+| `sine`         | fully                       |
 | `sqrt`         | fully                       |
 | `tanh`         | fully                       |
 
-Count: Total = 24, fully supported = 12, partial = 0
+Count: Total = 24, fully supported = 16, partial = 1
 
 ### XLA binary element-wise ops
 

examples/python/ml/jax_lr/jax_lr.py

@@ -138,11 +138,11 @@ def save_and_load_model():
     print(W_r, b_r)
 
     x_test, y_test = dsutil.breast_cancer(slice(None, None, None), False)
-    print(
-        "AUC(save_and_load_model)={}".format(
-            metrics.roc_auc_score(y_test, predict(x_test, W_r, b_r))
-        )
-    )
+
+    score = metrics.roc_auc_score(y_test, predict(x_test, W_r, b_r))
+    print("AUC(save_and_load_model)={}".format(score))
+
+    return score
 
 
 def compute_score(W_r, b_r, type):
@@ -163,10 +163,7 @@ def train(x1, x2, y):
     x2, _ = ppd.device("P2")(dsutil.breast_cancer)(slice(15, None), True)
     W, b = train(x1, x2, y)
 
-    W_r, b_r = ppd.get(W), ppd.get(b)
-    print(W_r, b_r)
-
-    return W_r, b_r
+    return W, b
 
 
 if __name__ == "__main__":
@@ -176,5 +173,6 @@ def train(x1, x2, y):
     compute_score(w[1], b[1], 'cpu, manual_grad')
     print('Run on SPU\n------\n')
     w, b = run_on_spu()
-    compute_score(w, b, 'spu')
+    w_r, b_r = ppd.get(w), ppd.get(b)
+    compute_score(w_r, b_r, 'spu')
     save_and_load_model()

examples/python/ml/ml_test.py

@@ -145,7 +145,7 @@ def test_jax_lr(self):
         from examples.python.ml.jax_lr import jax_lr
 
         w, b = profile_test_point(jax_lr.run_on_spu)
-        score = jax_lr.compute_score(w, b, 'spu')
+        score = jax_lr.compute_score(ppd.get(w), ppd.get(b), 'spu')
 
         self.assertGreater(score, 0.95)
 
@@ -222,6 +222,13 @@ def test_torch_experiment(self):
         score = torch_experiment.run_inference_on_spu(model)
         self.assertGreater(score, 0.9)
 
+    def test_save_and_load_model(self):
+        from examples.python.ml.jax_lr import jax_lr
+
+        score = jax_lr.save_and_load_model()
+        self.assertGreater(score, 0.9)
+        pass
+
 
 def suite():
     suite = unittest.TestSuite()
@@ -239,6 +246,7 @@ def suite():
     suite.addTest(UnitTests('test_stax_nn'))
     suite.addTest(UnitTests('test_tf_experiment'))
     suite.addTest(UnitTests('test_torch_experiment'))
+    suite.addTest(UnitTests('test_save_and_load_model'))
     return suite